Software and High Tech

Unleashing Next-Level Efficiency in Document Processing with GenAI

Companies spend millions of hours every year reading and extracting information from vast quantities of documents. The following case studies show how we’ve used GenAI to help one client save valuable time and increase accuracy.

Case Study #1: Transforming and Structuring Data for Unified Insights

Business Challenge

Our client’s consultants had to process disparate data types across numerous projects, resulting in significant manual effort and inefficiency. The data was often unstructured and needed to be standardized from various sources into a cohesive format for analysis.

Exadel’s Solution

We developed a solution that uses GenAI to automate the conversion of unstructured and semi-structured data into a standardized format, enabling smooth integration with the client’s analytical tools. It includes Natural Language Processing capabilities to interpret and categorize data accurately. The client’s consultants have the possibility to review and validate or correct the proposals to ensure the data is accurate.

Key Outcomes

The client experienced a marked improvement in data processing efficiency, reducing the time and resources previously devoted to manual data standardization. This solution facilitated a more robust data analysis process, enhancing the client’s ability to deliver informed consulting services.

Case Study #2: Unlocking Knowledge with Conversational AI

Business Challenge

Our client’s consultants had difficulty efficiently accessing specific information from extensive document sets and databases, impacting the speed and quality of client service delivery.

Exadel’s Solution

We designed and implemented an advanced GenAI-powered conversational chat-like interface, allowing consultants to query complex databases and extensive document archives through natural language. This system leverages a deep understanding of content and context to provide precise information retrieval.

Key Outcomes

The solution vastly improved the client’s ability to quickly access relevant information, improving response times to client inquiries and enabling a more in-depth analysis. It streamlined the information retrieval process, allowing consultants to focus on higher-value advisory tasks.

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Case Study #3: AI-enhanced Document Handling and Analysis

Business Challenge

The client’s consultants had to handle and analyze millions of multi-page pieces of unstructured data (documents, emails, custom notes, etc.) for actionable insights.

Exadel’s Solution

Using GenAI, we developed a document handling and analysis solution that automatically classifies documents by assigning specific tags, and summarizes changes between document versions. The tool utilizes AI to understand document content deeply, facilitating efficient management and analysis while ensuring regulatory compliance.

Key Outcomes

The client saw an improvement in document management efficiency, with a reduction in time spent on manual classification and analysis. The solution enabled quicker decision-making by providing concise summaries of document changes, streamlining project management processes.

Case Study #4: Transformative Task Automation with GenAI

Business Challenge

Our client’s consultants were bogged down by routine tasks such as data entry, task management, and navigating complex software ecosystems, detracting from client-focused activities.

Exadel’s Solution

We implemented a GenAI-powered digital assistant designed to automate routine tasks and facilitate natural language interaction with the firm’s software systems. This assistant can perform a wide range of functions, from task management to drafting emails and executing software functions, all through conversational commands.

Key Outcomes

The introduction of the digital assistant significantly reduced the time consultants spent on administrative tasks, allowing them to allocate more time to client engagement and strategic initiatives., increasing overall productivity and streamlining internal processes.